package com.tanhua.server.service;

import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.convert.Convert;
import cn.hutool.core.util.RandomUtil;
import com.alibaba.fastjson.JSON;
import com.tanhua.autoconfig.template.HuanXinTemplate;
import com.tanhua.commons.utils.Constants;
import com.tanhua.dubbo.api.*;
import com.tanhua.model.domain.Question;
import com.tanhua.model.domain.UserInfo;
import com.tanhua.model.dto.RecommendUserDto;
import com.tanhua.model.mongo.RecommendUser;
import com.tanhua.model.mongo.Visitors;
import com.tanhua.model.vo.ErrorResult;
import com.tanhua.model.vo.NearUserVo;
import com.tanhua.model.vo.PageResult;
import com.tanhua.model.vo.TodayBest;
import com.tanhua.server.exception.BusinessException;
import com.tanhua.server.interceptor.UserHolder;
import org.apache.dubbo.config.annotation.DubboReference;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;

import java.text.SimpleDateFormat;
import java.util.*;

@Service
public class TanhuaService {

    @DubboReference
    private RecommendUserApi recommendUserApi;

    @DubboReference
    private UserInfoApi userInfoApi;

    @DubboReference
    private QuestionApi questionApi;

    @Autowired
    private HuanXinTemplate huanXinTemplate;

    @DubboReference
    private UserLikeApi userLikeApi;

    @Autowired
    private RedisTemplate<String, String> redisTemplate;

    @Autowired
    private MessagesService messagesService;

    @DubboReference
    private UserLocationApi userLocationApi;

    @Value("${tanhua.default.recommend.users}")
    private String recommendUser;

    @DubboReference
    private VisitorsApi visitorsApi;

    // 查询今日佳人数据
    public TodayBest todayBest() {
        // 1. 获取用户id
        Long userId = UserHolder.getUserId();

        // 2. 调用api查询
        RecommendUser recommendUser = recommendUserApi.queryWithMaxScore(userId);

        // 3. 设置默认值
        if(recommendUser == null) {
            recommendUser = new RecommendUser();
            recommendUser.setUserId(1l);
            recommendUser.setScore(99d);
        }

        // 4. 将recommendUser 转化成 todayBest对象
        UserInfo userInfo = userInfoApi.findById(recommendUser.getUserId());
        TodayBest vo = TodayBest.init(userInfo, recommendUser);

        // 5. 返回
        return vo;
    }

    // 查询分页推荐好友列表
    public PageResult recommendation(RecommendUserDto dto) {
        // 1. 获取用户id
        Long userId = UserHolder.getUserId();

        // 2. 调用RecommendUserApi查询数据列表(PageResult -- RecommendUser)
        PageResult pr = recommendUserApi.queryRecommendUserList(dto.getPage(), dto.getPagesize(), userId);

        // 3. 获取分页中的RecommendUser数据列表
        List<RecommendUser> items = (List<RecommendUser>) pr.getItems();

        // 4. 判断列表数据是否为空
        if (items == null) {
            return pr;
        }

//        // 5. 循环RecommendUser推荐列表,根据推荐的用户id查询用户详情
//        List<TodayBest> list = new ArrayList<>();
//        for (RecommendUser item : items) {
//            Long recommendUserId = item.getUserId();
//            UserInfo userInfo = userInfoApi.findById(recommendUserId);
//            if(userInfo != null) {
//                // 条件判断
//                if(!StringUtils.isEmpty(dto.getGender()) && !dto.getGender().equals(userInfo.getGender())) {
//                    continue;
//                }
//                if (dto.getAge() != null && dto.getAge() < userInfo.getAge()) {
//                    continue;
//                }
//                TodayBest vo = TodayBest.init(userInfo, item);
//                list.add(vo);
//            }
//        }
//


        // 5. 提取所有推荐的用户id列表
        List<Long> ids = CollUtil.getFieldValues(items, "userId", Long.class);
        UserInfo userInfo = new UserInfo();
        userInfo.setAge(dto.getAge());
        userInfo.setGender(dto.getGender());

        // 6. 构建查询条件,批量查询所有的用户详情
        Map<Long, UserInfo> map = userInfoApi.findByIds(ids, userInfo);

        // 7. 循环推荐的数据列表,构建vo对象
        List<TodayBest> list = new ArrayList<>();
        for (RecommendUser item : items) {
            UserInfo info = map.get(item.getUserId());
            if(info != null) {
                TodayBest vo = TodayBest.init(info, item);
                list.add(vo);
            }
        }

        // 6. 构造返回值
        pr.setItems(list);
        return pr;
    }

    // 查看佳人详情
    public TodayBest personalInfo(Long userId) {
        // 1. 根据用户id,查询用户详情
        UserInfo userInfo = userInfoApi.findById(userId);
        // 2. 根据操作人id, 和查看的用户id,查询两者的推荐数据(缘分值)
        RecommendUser user = recommendUserApi.queryByUserId(userId, UserHolder.getUserId());

        // 构造访客数据,调用API保存
        Visitors visitors = new Visitors();
        visitors.setUserId(userId);
        visitors.setVisitorUserId(UserHolder.getUserId());
        visitors.setFrom("首页");
        visitors.setDate(System.currentTimeMillis());
        visitors.setVisitDate(new SimpleDateFormat("yyyyMMdd").format(new Date()));
        visitors.setScore(user.getScore());
        visitorsApi.save(visitors);

        // 3. 构造返回值
        return TodayBest.init(userInfo, user);
    }

    // 查看陌生人问题
    public String strangerQuestions(Long userId) {
        Question question = questionApi.findByUserId(userId);
        return question == null ? "你喜欢吃青椒吗?" : question.getTxt();
    }

    // 回复陌生人问题
    public void replyQuestions(Long userId, String reply) {
        // 1. 构造消息数据
        Long currentUserId = UserHolder.getUserId();
        UserInfo userInfo = userInfoApi.findById(currentUserId);
        Map map = new HashMap<>();
        map.put("userId", currentUserId);
        map.put("huanXinId", Constants.HX_USER_PREFIX + currentUserId);
        map.put("nickname", userInfo.getNickname());
        map.put("strangerQuestion", strangerQuestions(userId));
        map.put("reply", reply);
        String message = JSON.toJSONString(map);

        // 2. 调用template对象,发送消息
        Boolean aBoolean = huanXinTemplate.sendMsg(Constants.HX_USER_PREFIX + userId, message);

        // 3. 异常处理
        if (!aBoolean) {
           throw new BusinessException(ErrorResult.error());
        }
    }

    // 探花 - 推荐用户列表
    public List<TodayBest> queryCardsList() {
        // 1. 调用推荐API查询数据列表(排除 喜欢/不喜欢 的用户, 数量限制)
        List<RecommendUser> users = recommendUserApi.queryCardsList(UserHolder.getUserId(), 10);

        // 2. 判断数据是否存在,如果不存在,构造默认数据 1,2,3...
        if(CollUtil.isEmpty(users)) {
            users = new ArrayList<>();
            String[] userIds = recommendUser.split(",");
            for (String userId : userIds) {
                RecommendUser recommendUser = new RecommendUser();
                recommendUser.setUserId(Convert.toLong(userId));
                recommendUser.setToUserId(UserHolder.getUserId());
                recommendUser.setScore(RandomUtil.randomDouble(60, 90));
                users.add(recommendUser);
            }
        }

        // 3. 构造vo
        List<Long> ids = CollUtil.getFieldValues(users, "userId", Long.class);
        Map<Long, UserInfo> infoMap = userInfoApi.findByIds(ids, null);
        List<TodayBest> vos = new ArrayList<>();
        for (RecommendUser user : users) {
            UserInfo userInfo = infoMap.get(user.getUserId());
            if(userInfo != null) {
                TodayBest vo = TodayBest.init(userInfo, user);
                vos.add(vo);
            }
        }
        return vos;
    }

    // 探花 - 喜欢
    public void likeUser(Long likeUserId) {
        // 1. 调用API,保存喜欢的数据(写入MongoDB)
        Boolean save = userLikeApi.saveOrUpdate(UserHolder.getUserId(), likeUserId, true);
        if(!save) {
            throw new BusinessException(ErrorResult.error());
        }

        // 2. 操作redis,写入喜欢的数据,删除不喜欢的数据
        redisTemplate.opsForSet().remove(Constants.USER_NOT_LIKE_KEY + UserHolder.getUserId(), likeUserId.toString());
        redisTemplate.opsForSet().add(Constants.USER_LIKE_KEY + UserHolder.getUserId(), likeUserId.toString());

        // 3. 判断是否双向喜欢
        if(isLike(likeUserId, UserHolder.getUserId())) {
            // 4. 如果是,则添加好友
            messagesService.contacts(likeUserId);
        }
    }

    // 公共方法 - 判断 id 是否在集合当中
    public Boolean isLike(Long userId, Long likeUserId) {
        String key = Constants.USER_LIKE_KEY + userId;
        return redisTemplate.opsForSet().isMember(key, likeUserId.toString());
    }

    // 探花 - 不喜欢
    public void notLikeUser(Long likeUserId) {
        // 1. 调用API,保存喜欢的数据(写入MongoDB)
        Boolean save = userLikeApi.saveOrUpdate(UserHolder.getUserId(), likeUserId, false);
        if(!save) {
            throw new BusinessException(ErrorResult.error());
        }

        // 2. 操作redis,写入喜欢的数据,删除不喜欢的数据
        redisTemplate.opsForSet().add(Constants.USER_NOT_LIKE_KEY + UserHolder.getUserId(), likeUserId.toString());
        redisTemplate.opsForSet().remove(Constants.USER_LIKE_KEY + UserHolder.getUserId(), likeUserId.toString());

        // 3. 判断是否双向不喜欢(删除双向好友)
    }

    // 搜附近
    public List<NearUserVo> queryNearUser(String gender, String distance) {
        // 1. 调用API查询附近的用户(返回附近所有用户的id, 包含当前用户的id)
        List<Long> userIds = userLocationApi.queryNearUser(UserHolder.getUserId(), Double.valueOf(distance));
        // 2. 判断集合是否为空
        if(CollUtil.isEmpty(userIds)) {
            return new ArrayList<>();
        }
        // 3. 调用UserInfoApi根据用户id查询用户详情
        UserInfo userInfo = new UserInfo();
        userInfo.setGender(gender);
        Map<Long, UserInfo> map = userInfoApi.findByIds(userIds, userInfo);
        // 4. 构造返回值
        List<NearUserVo> vos = new ArrayList<>();
        for (Long userId : userIds) {
            // 过滤当前用户
            if(userId == UserHolder.getUserId()) {
                continue;
            }
            UserInfo info = map.get(userId);
            if(info != null) {
                NearUserVo vo = NearUserVo.init(info);
                vos.add(vo);
            }
        }
        return vos;
    }
}
